See attached for responsibilities.

Qualifications Four-year degree in an analytically applied field such as Analytics, Operations Research, Engineering, Mathematics, Statistics, and Computer Science or equivalent experience. Experience building dashboards, analysis reports, and solving real manufacturing problems with data. The ability to analyze, model and interpret data. Proficient with the following tools or equivalent: Programming languages (R, Python, SQL) Strong statistical background and the ability to apply statistical methods effectively. Proficient in data analysis, feature engineering, and data preprocessing

GKN Automotive is the market leader in conventional, all-wheel and electrified drive systems and solutions. With a comprehensive global footprint, we design, develop, manufacture and integrate an extensive range of driveline technologies for over 90% of the world's car manufacturers. As a global engineering company, innovation is what differentiates us from our competitors and is central to our success. A balance of cultures, ethnicities and genders help bring new ideas and creativity to GKN Automotive. We need people of different backgrounds, with different skills and perspectives to spark originality, imagination and creativeness in our teams around the world. GKN Automotive is an equal opportunity employer. We treat all our employees and applicants fairly and are committed to ensuring that there is no discrimination or harassment against any employee or qualified applicant on the grounds of age, race, creed, colour, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status or any other characteristic protected by law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. Please contact us to request any such accommodation.

GKN Driveline provides equal employment and affirmative action opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, age, genetic information, pregnancy, or disability.